Cargando…
Exploration of gene functions for esophageal squamous cell carcinoma using network-based guilt by association principle
Gene networks have been broadly used to predict gene functions based on guilt by association (GBA) principle. Thus, in order to better understand the molecular mechanisms of esophageal squamous cell carcinoma (ESCC), our study was designed to use a network-based GBA method to identify the optimal ge...
Autores principales: | Wu, Wei, Huang, Bo, Yan, Yan, Zhong, Zhi-Qiang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Associação Brasileira de Divulgação Científica
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5937724/ https://www.ncbi.nlm.nih.gov/pubmed/29694510 http://dx.doi.org/10.1590/1414-431X20186801 |
Ejemplares similares
-
Combining guilt-by-association and guilt-by-profiling to predict Saccharomyces cerevisiae gene function
por: Tian, Weidong, et al.
Publicado: (2008) -
Exploring the Thermal Signature of Guilt, Shame, and Remorse
por: Bhushan, Braj, et al.
Publicado: (2020) -
When guilt works: a comprehensive meta-analysis of guilt appeals
por: Peng, Wei, et al.
Publicado: (2023) -
“Guilt by Association” Is the Exception Rather Than the Rule in Gene Networks
por: Gillis, Jesse, et al.
Publicado: (2012) -
Principle and progress of radical treatment for locally advanced esophageal squamous cell carcinoma
por: Zhang, Xiao-Fei, et al.
Publicado: (2022)